Reconstruction of the Face Shape using the Motion Capture System in the Blender Environment

Joanna Smolska, Dariusz Sawicki

2022

Abstract

Motion Capture systems have been significantly improved during the last few years, mainly since they found usage in the entertainment industry and medicine. The main role of Motion Capture systems is to control and record the position of a set of selected points on the scene. Project described in the following article aimed at developing a method of reconstructing the shape of a specific face with the possibility of controlling its movement for the purposes of computer animation. We conducted experiments in a Motion Capture laboratory using Qualisys Miqus M1 and M3 cameras and created a low-poly face model. Moreover, we proposed an algorithm of shape reconstruction using the analysis of the position of a set of points (markers) applied to the surface of the face and Blender software. Finally, we analyzed advantages and disadvantages of both approaches to facial motion capture. Taking into account the publications of recent years, a brief analysis of the trends in the development of facial reconstruction methods has also been carried out.

Paper Citation

in Harvard Style

Smolska J. and Sawicki D. (2022). Reconstruction of the Face Shape using the Motion Capture System in the Blender Environment. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 310-317. DOI: 10.5220/0011001700003124

in Bibtex Style

@conference{grapp22,
author={Joanna Smolska and Dariusz Sawicki},
title={Reconstruction of the Face Shape using the Motion Capture System in the Blender Environment},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011001700003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - Reconstruction of the Face Shape using the Motion Capture System in the Blender Environment
SN - 978-989-758-555-5
AU - Smolska J.
AU - Sawicki D.
PY - 2022
SP - 310
EP - 317
DO - 10.5220/0011001700003124
PB - SciTePress